mirror of https://github.com/hpcaitech/ColossalAI
46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
from .builder import Builder
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from .utils import append_nvcc_threads, get_cuda_cc_flag
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class MultiHeadAttnBuilder(Builder):
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NAME = "multihead_attention"
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PREBUILT_IMPORT_PATH = "colossalai._C.multihead_attention"
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def __init__(self):
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super().__init__(name=MultiHeadAttnBuilder.NAME, prebuilt_import_path=MultiHeadAttnBuilder.PREBUILT_IMPORT_PATH)
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def include_dirs(self):
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ret = [self.csrc_abs_path("kernels/include"), self.get_cuda_home_include()]
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return ret
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def sources_files(self):
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ret = [
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self.csrc_abs_path(fname)
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for fname in [
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"multihead_attention_1d.cpp",
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"kernels/cublas_wrappers.cu",
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"kernels/transform_kernels.cu",
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"kernels/dropout_kernels.cu",
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"kernels/normalize_kernels.cu",
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"kernels/softmax_kernels.cu",
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"kernels/general_kernels.cu",
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"kernels/cuda_util.cu",
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]
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]
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return ret
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def cxx_flags(self):
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return ["-O3"] + self.version_dependent_macros
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def nvcc_flags(self):
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extra_cuda_flags = [
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"-std=c++14",
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"-U__CUDA_NO_HALF_OPERATORS__",
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"-U__CUDA_NO_HALF_CONVERSIONS__",
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"-U__CUDA_NO_HALF2_OPERATORS__",
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"-DTHRUST_IGNORE_CUB_VERSION_CHECK",
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]
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extra_cuda_flags.extend(get_cuda_cc_flag())
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ret = ["-O3", "--use_fast_math"] + self.version_dependent_macros + extra_cuda_flags
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return append_nvcc_threads(ret)
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